Growth Acceleration Clinical Trial
— PROGROOfficial title:
The Effect of Milk Protein vs. Blends of Milk and Plant Protein on Growth Markers in 7-8 Year Old Healthy Danish Children
NCT number | NCT03384719 |
Other study ID # | D221 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | January 18, 2018 |
Est. completion date | December 18, 2018 |
Verified date | December 2017 |
Source | University of Copenhagen |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The purpose of PROGRO is to determine which combinations of milk and plant proteins are optimal to promote growth factors in children
Status | Completed |
Enrollment | 129 |
Est. completion date | December 18, 2018 |
Est. primary completion date | December 18, 2018 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 7 Years to 8 Years |
Eligibility | Inclusion Criteria: - Age 7-8 years - Healthy* - The child is willing to consume protein powder twice a day for 4 weeks - The child is not a picky eater and so does not mind trying new foods and flavours - The child speaks Danish in order to understand the study procedures - The parents read and speak Danish in order to be properly informed about the study procedures - Written informed consent has been obtained - The principal investigator, who is blinded to study treatment, will perform a case-by-case medical evaluation of children with any signs of being unhealthy or having any illness or taking medication at the time of admission. If the conditions are considered to potentially affect protein metabolism or growth, the children will not be included. If a child is acutely ill at the scheduled time of study start, the child cannot be included. But the child may be included later when the acute illness has resolved Exclusion Criteria: - The child drinks more than 350 ml of milk per day - Known or suspected allergy, sensitization or intolerance to milk (protein or lactose), rapeseed or mustard - Any acute illness* - Chronic illness or disease that may affect protein metabolism or growth* - Chronic intake of medicine that may affect protein metabolism or growth* - Concomitant participation in other studies involving dietary supplements or blood sampling - Living in a household with another participating child - The principal investigator, who is blinded to study treatment, will perform a case-by-case medical evaluation of children with any signs of being unhealthy or having any illness or taking medication at the time of admission. If the conditions are considered to potentially affect protein metabolism or growth, the children will not be included. If a child is acutely ill at the scheduled time of study start, the child cannot be included. But the child may be included later when the acute illness has resolved |
Country | Name | City | State |
---|---|---|---|
Denmark | Department of Nutrition, Exercise and Sports | Copenhagen | Frederiksberg |
Lead Sponsor | Collaborator |
---|---|
University of Copenhagen | Arla Foods, University of Aarhus |
Denmark,
Grenov B, Larnkjær A, Ritz C, Michaelsen KF, Damsgaard CT, Mølgaard C. The effect of milk and rapeseed protein on growth factors in 7-8 year-old healthy children - A randomized controlled trial. Growth Horm IGF Res. 2021 Jul 21;60-61:101418. doi: 10.1016/ — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Change in weight | The weight is measured once on a digital weighing scale (Tanita MC 780) in kg | from baseline to week 1 and week 4, respectively | |
Other | Change in body mass index (BMI) | BMI = weight divided by height squared (kg/m2). Weight is measured once using a digital weighing scale while the child is wearing underwear (Tanita MC 780, unit: kg) and height is measured three times to the nearest millimeter using a stadiometer (unit: meter). | from baseline to week 1 and week 4, respectively | |
Other | Change in waist circumference | Measured three times to the nearest millimeter using a non-elastic measuring tape | from baseline to week 1 and week 4, respectively | |
Other | Change in bio impedance | Tanita MC 780MA segmental multi frequency body composition analyzer | from baseline to week 1 and week 4, respectively | |
Other | Change in subscapular and triceps skinfolds | Subscapular and triceps skinfolds are measured three times to the non-dominant side to the nearest 0.2 millimeter using a Harpenden skinfold caliper while the child is standing | from baseline to week 1 and week 4, respectively | |
Other | Change in free amino acids in plasma | Blood sample | from baseline to week 1 and week 4, respectively | |
Other | Change in height | Height is measured three times to the nearest millimeter using a stadiometer | from baseline to week 1 and week 4, respectively | |
Other | Change in blood pressure | Blood pressure will be measured three times by an automated medical device while the child is lying down. Blood pressure is measured after 10 minutes rest | from baseline to week 1 and week 4, respectively | |
Other | Change in pulse rate | Blood pressure and pulse will be measured three times by an automated medical device while the child is lying down. Blood pressure and pulse are measured after 10 minutes rest | from baseline to week 1 and week 4, respectively | |
Other | Change in appetite hormones | Blood sample: leptin | from baseline to week 1 and week 4, respectively | |
Other | Change in appetite hormones | Blood sample: adiponectin | from baseline to week 1 and week 4, respectively | |
Other | Change in bone turnover marker: CTX (C-terminal telopeptide, carboxy-terminal collagen crosslinks) | Blood sample | from baseline to week 1 and week 4, respectively | |
Other | Change in bone specific alkaline phosphatase | Blood sample | from baseline to week 1 and week 4, respectively | |
Other | Change in osteocalcin | Blood sample | from baseline to week 1 and week 4, respectively | |
Other | Change in genetics | Blood sample: epigenetics and genes related to the study outcomes (single nucleotides polymorphisms (SNPs) and genome wide association studies (GWAS), NOT full genome sequencing | from baseline to week 1 and week 4, respectively | |
Other | Change in metabolomics related to the study outcomes | Blood sample | from baseline to week 1 and week 4, respectively | |
Other | Change in proteomics related to the study outcomes | Blood sample | from baseline to week 1 and week 4, respectively | |
Primary | Change in IGF-I between study arms | Blood sample | from baseline to week 4 | |
Secondary | Change in IGF-1 within study arms | Blood sample | from baseline to week 4 | |
Secondary | Change in IGF-1 between and within study arms | Blood sample | from baseline to week 1 | |
Secondary | Change in IGFBP-3 between and within study arms | Blood sample | from baseline to week 1 and week 4, respectively | |
Secondary | Change in the ratio IGF-1/IGFBP-3 between and within study arms | Blood sample. Concentration of IGF-1 divided by the concentration of IGFBP-3. | from baseline to week 1 and week 4, respectively | |
Secondary | Change in insulin between and within study arms | Blood sample | from baseline to week 1 and week 4, respectively | |
Secondary | Change in relative insulin resistance between and within study arms | Blood sample | from baseline to week 1 and week 4, respectively | |
Secondary | Change in beta cell function between and within study arms | Blood sample | from baseline to week 1 and week 4, respectively | |
Secondary | Change in beta cell function/insulin resistance between and within study arms | Blood sample. Beta cell function divided by insulin resistance. | from baseline to week 1 and week 4, respectively |
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